# Reverse Linked List II
### Source
- leetcode: [Reverse Linked List II | LeetCode OJ](https://leetcode.com/problems/reverse-linked-list-ii/)
- lintcode: [(36) Reverse Linked List II](http://www.lintcode.com/en/problem/reverse-linked-list-ii/)
### Problem
Reverse a linked list from position m to n.
#### Example
Given **1->2->3->4->5->NULL**, m = 2 and n = 4, return1->4->3->2->5->NULL.
#### Note
Given m, n satisfy the following condition: 1 ≤ m ≤ n ≤ length of list.
#### Challenge
Reverse it in-place and in one-pass
### 题解
此题在上题的基础上加了位置要求,只翻转指定区域的链表。由于链表头节点不确定,祭出我们的dummy杀器。此题边界条件处理特别tricky,需要特别注意。
1. 由于只翻转指定区域,分析受影响的区域为第m-1个和第n+1个节点
1. 找到第m个节点,使用for循环n-m次,使用上题中的链表翻转方法
1. 处理第m-1个和第n+1个节点
1. 返回dummy->next
### C++
~~~
/**
* Definition of singly-linked-list:
*
* class ListNode {
* public:
* int val;
* ListNode *next;
* ListNode(int val) {
* this->val = val;
* this->next = NULL;
* }
* }
*/
class Solution {
public:
/**
* @param head: The head of linked list.
* @param m: The start position need to reverse.
* @param n: The end position need to reverse.
* @return: The new head of partial reversed linked list.
*/
ListNode *reverseBetween(ListNode *head, int m, int n) {
if (head == NULL || m > n) {
return NULL;
}
ListNode *dummy = new ListNode(0);
dummy->next = head;
ListNode *node = dummy;
for (int i = 1; i != m; ++i) {
if (node == NULL) {
return NULL;
} else {
node = node->next;
}
}
ListNode *premNode = node;
ListNode *mNode = node->next;
ListNode *nNode = mNode, *postnNode = nNode->next;
for (int i = m; i != n; ++i) {
if (postnNode == NULL) {
return NULL;
}
ListNode *temp = postnNode->next;
postnNode->next = nNode;
nNode = postnNode;
postnNode = temp;
}
premNode->next = nNode;
mNode->next = postnNode;
return dummy->next;
}
};
~~~
### Java
~~~
/**
* Definition for ListNode
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) {
* val = x;
* next = null;
* }
* }
*/
public class Solution {
/**
* @param ListNode head is the head of the linked list
* @oaram m and n
* @return: The head of the reversed ListNode
*/
public ListNode reverseBetween(ListNode head, int m , int n) {
ListNode dummy = new ListNode(0);
dummy.next = head;
// find the mth node
ListNode premNode = dummy;
for (int i = 1; i < m; i++) {
premNode = premNode.next;
}
// reverse node between m and n
ListNode prev = null, curr = premNode.next;
while (curr != null && (m <= n)) {
ListNode nextNode = curr.next;
curr.next = prev;
prev = curr;
curr = nextNode;
m++;
}
// join head and tail before m and after n
premNode.next.next = curr;
premNode.next = prev;
return dummy.next;
}
}
~~~
### 源码分析
1. 处理异常
1. 使用dummy辅助节点
1. 找到premNode——m节点之前的一个节点
1. 以nNode和postnNode进行遍历翻转,注意考虑在遍历到n之前postnNode可能为空
1. 连接premNode和nNode,`premNode->next = nNode;`
1. 连接mNode和postnNode,`mNode->next = postnNode;`
**务必注意node 和node->next的区别!!**,node指代节点,而`node->next`指代节点的下一连接。
- Preface
- Part I - Basics
- Basics Data Structure
- String
- Linked List
- Binary Tree
- Huffman Compression
- Queue
- Heap
- Stack
- Set
- Map
- Graph
- Basics Sorting
- Bubble Sort
- Selection Sort
- Insertion Sort
- Merge Sort
- Quick Sort
- Heap Sort
- Bucket Sort
- Counting Sort
- Radix Sort
- Basics Algorithm
- Divide and Conquer
- Binary Search
- Math
- Greatest Common Divisor
- Prime
- Knapsack
- Probability
- Shuffle
- Basics Misc
- Bit Manipulation
- Part II - Coding
- String
- strStr
- Two Strings Are Anagrams
- Compare Strings
- Anagrams
- Longest Common Substring
- Rotate String
- Reverse Words in a String
- Valid Palindrome
- Longest Palindromic Substring
- Space Replacement
- Wildcard Matching
- Length of Last Word
- Count and Say
- Integer Array
- Remove Element
- Zero Sum Subarray
- Subarray Sum K
- Subarray Sum Closest
- Recover Rotated Sorted Array
- Product of Array Exclude Itself
- Partition Array
- First Missing Positive
- 2 Sum
- 3 Sum
- 3 Sum Closest
- Remove Duplicates from Sorted Array
- Remove Duplicates from Sorted Array II
- Merge Sorted Array
- Merge Sorted Array II
- Median
- Partition Array by Odd and Even
- Kth Largest Element
- Binary Search
- Binary Search
- Search Insert Position
- Search for a Range
- First Bad Version
- Search a 2D Matrix
- Search a 2D Matrix II
- Find Peak Element
- Search in Rotated Sorted Array
- Search in Rotated Sorted Array II
- Find Minimum in Rotated Sorted Array
- Find Minimum in Rotated Sorted Array II
- Median of two Sorted Arrays
- Sqrt x
- Wood Cut
- Math and Bit Manipulation
- Single Number
- Single Number II
- Single Number III
- O1 Check Power of 2
- Convert Integer A to Integer B
- Factorial Trailing Zeroes
- Unique Binary Search Trees
- Update Bits
- Fast Power
- Hash Function
- Count 1 in Binary
- Fibonacci
- A plus B Problem
- Print Numbers by Recursion
- Majority Number
- Majority Number II
- Majority Number III
- Digit Counts
- Ugly Number
- Plus One
- Linked List
- Remove Duplicates from Sorted List
- Remove Duplicates from Sorted List II
- Remove Duplicates from Unsorted List
- Partition List
- Two Lists Sum
- Two Lists Sum Advanced
- Remove Nth Node From End of List
- Linked List Cycle
- Linked List Cycle II
- Reverse Linked List
- Reverse Linked List II
- Merge Two Sorted Lists
- Merge k Sorted Lists
- Reorder List
- Copy List with Random Pointer
- Sort List
- Insertion Sort List
- Check if a singly linked list is palindrome
- Delete Node in the Middle of Singly Linked List
- Rotate List
- Swap Nodes in Pairs
- Remove Linked List Elements
- Binary Tree
- Binary Tree Preorder Traversal
- Binary Tree Inorder Traversal
- Binary Tree Postorder Traversal
- Binary Tree Level Order Traversal
- Binary Tree Level Order Traversal II
- Maximum Depth of Binary Tree
- Balanced Binary Tree
- Binary Tree Maximum Path Sum
- Lowest Common Ancestor
- Invert Binary Tree
- Diameter of a Binary Tree
- Construct Binary Tree from Preorder and Inorder Traversal
- Construct Binary Tree from Inorder and Postorder Traversal
- Subtree
- Binary Tree Zigzag Level Order Traversal
- Binary Tree Serialization
- Binary Search Tree
- Insert Node in a Binary Search Tree
- Validate Binary Search Tree
- Search Range in Binary Search Tree
- Convert Sorted Array to Binary Search Tree
- Convert Sorted List to Binary Search Tree
- Binary Search Tree Iterator
- Exhaustive Search
- Subsets
- Unique Subsets
- Permutations
- Unique Permutations
- Next Permutation
- Previous Permuation
- Unique Binary Search Trees II
- Permutation Index
- Permutation Index II
- Permutation Sequence
- Palindrome Partitioning
- Combinations
- Combination Sum
- Combination Sum II
- Minimum Depth of Binary Tree
- Word Search
- Dynamic Programming
- Triangle
- Backpack
- Backpack II
- Minimum Path Sum
- Unique Paths
- Unique Paths II
- Climbing Stairs
- Jump Game
- Word Break
- Longest Increasing Subsequence
- Palindrome Partitioning II
- Longest Common Subsequence
- Edit Distance
- Jump Game II
- Best Time to Buy and Sell Stock
- Best Time to Buy and Sell Stock II
- Best Time to Buy and Sell Stock III
- Best Time to Buy and Sell Stock IV
- Distinct Subsequences
- Interleaving String
- Maximum Subarray
- Maximum Subarray II
- Longest Increasing Continuous subsequence
- Longest Increasing Continuous subsequence II
- Graph
- Find the Connected Component in the Undirected Graph
- Route Between Two Nodes in Graph
- Topological Sorting
- Word Ladder
- Bipartial Graph Part I
- Data Structure
- Implement Queue by Two Stacks
- Min Stack
- Sliding Window Maximum
- Longest Words
- Heapify
- Problem Misc
- Nuts and Bolts Problem
- String to Integer
- Insert Interval
- Merge Intervals
- Minimum Subarray
- Matrix Zigzag Traversal
- Valid Sudoku
- Add Binary
- Reverse Integer
- Gray Code
- Find the Missing Number
- Minimum Window Substring
- Continuous Subarray Sum
- Continuous Subarray Sum II
- Longest Consecutive Sequence
- Part III - Contest
- Google APAC
- APAC 2015 Round B
- Problem A. Password Attacker
- Microsoft
- Microsoft 2015 April
- Problem A. Magic Box
- Problem B. Professor Q's Software
- Problem C. Islands Travel
- Problem D. Recruitment
- Microsoft 2015 April 2
- Problem A. Lucky Substrings
- Problem B. Numeric Keypad
- Problem C. Spring Outing
- Microsoft 2015 September 2
- Problem A. Farthest Point
- Appendix I Interview and Resume
- Interview
- Resume